Sun Kim
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Bioinformatics and Genomic Networks 36
- Gene expression and cancer classification 25
- RNA modifications and cancer 11
- Machine Learning in Bioinformatics 11
- Epigenetics and DNA Methylation 10
-
- Ecology and Conservation Studies 7
- Co-authors
- Sangseon Lee (32 shared papers)Sangsoo Lim (18 shared papers)Heejoon Chae (18 shared papers)Youngjun Park (5 shared papers)Inuk Jung (17 shared papers)Kyuri Jo (14 shared papers)Seungyoon Nam (4 shared papers)Minsik Oh (4 shared papers)
- Journals
- Bioinformatics (14 papers)Scientific Reports (10 papers)Briefings in Bioinformatics (6 papers)Synlett (6 papers)BMC Bioinformatics (6 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Sun Kim
171 papers receiving 2.8k citations
Sun Kim's Hit Papers
Peers
Comparison fields: 5 of 151
- Cancer Research 378
- Neurology 347
- Molecular Biology 1.3k
- Infectious Diseases 244
- Computational Theory and Mathematics 216
Countries citing papers authored by Sun Kim
This map shows the geographic impact of Sun Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Kim more than expected).
Fields of papers citing papers by Sun Kim
This network shows the impact of papers produced by Sun Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sun Kim. The network helps show where Sun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SARS-CoV-2 and Stroke in a New York Healthcare System Hit paper breakdown → | 2020 | 452 |
| 2 | 2009 | 143 | |
| 3 | 2011 | 122 | |
| 4 | 2008 | 102 | |
| 5 | 2018 | 95 | |
| 6 | 2021 | 87 | |
| 7 | 2023 | 69 | |
| 8 | 2019 | 68 | |
| 9 | 2022 | 67 | |
| 10 | 2013 | 47 | |
| 11 | 2017 | 45 | |
| 12 | 2016 | 41 | |
| 13 | 2014 | 41 | |
| 14 | 2015 | 39 | |
| 15 | 2020 | 38 | |
| 16 | 2013 | 38 | |
| 17 | 2014 | 37 | |
| 18 | 2020 | 36 | |
| 19 | 2019 | 36 | |
| 20 | 2020 | 34 |
About Sun Kim
Sun Kim is a scholar working on Molecular Biology, Plant Science, Cancer Research, Computational Theory and Mathematics and Ecology, Evolution, Behavior and Systematics, having authored 181 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (36 papers), Gene expression and cancer classification (25 papers), Computational Drug Discovery Methods (14 papers), Agriculture, Soil, Plant Science (13 papers), RNA modifications and cancer (11 papers), Machine Learning in Bioinformatics (11 papers), Epigenetics and DNA Methylation (10 papers) and Ecology and Conservation Studies (7 papers). The work is most often cited by research in Cancer Research (378 citations), Neurology (347 citations), Molecular Biology (1.3k citations), Infectious Diseases (244 citations) and Computational Theory and Mathematics (216 citations) Sun Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sangseon Lee, Sangsoo Lim, Heejoon Chae, Youngjun Park, Inuk Jung, Kyuri Jo, Seungyoon Nam, Minsik Oh, Kwangmin Choi and Seokjun Seo. Their work appears in journals such as Bioinformatics, Scientific Reports, Briefings in Bioinformatics, Synlett and BMC Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.